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Spatial Differences and Drivers of Tourism Ecological Security in China’s Border Areas

Author

Listed:
  • Jie Wang

    (School of Business and Tourism Management, Yunnan University, Kunming 650091, China
    Border Tourism Research Base of China Tourism Research Institute, Kunming 650091, China)

  • Xi Chen

    (School of Business and Tourism Management, Yunnan University, Kunming 650091, China)

  • Zhaohui Zhang

    (School of Business and Tourism Management, Yunnan University, Kunming 650091, China)

Abstract

Tourism activities generally have a ∩-type lock on the level of tourism ecological security in an area, but when applied to the border areas of China, there are certain specificities in the spatial evolution of tourism ecological security (TES) compared to traditional findings. This paper measures tourism ecological security in China’s border areas from 2009 to 2020 by using the DPSIR model with the SBM-DEA and analyzes the spatial differences, evolutionary characteristics, and driving factors of tourism ecological security in border areas by using Pearson’s correlation coefficients, center of gravity models, and Geodetectors: (1) The overall tourism ecological security index of China’s border provinces is relatively good. Tourism activities do not completely affect the traditional “∩ lock” of the border provinces. The tourism ecological security level of the border provinces presents three spatial-temporal changes (“∩” type, “U” type, and “\” type) and four evolution trends (“high-high-high”, “middle-middle-medium”, “medium-low-low”, and “low-low-low”). (2) The overall tourism ecological security level in border areas is polarized between high and low levels, and the ecological security efficiency of the three large areas is spatially characterized as “Southwest Area > Northeast Area > Northwest Area”, and the center of gravity of ecological security is mostly concentrated in Xinjiang, Tibet, and Neimenggu, where the ecological security level is higher. (3) Social and environmental factors are the main factors that influence tourism ecological security in border areas, while economic factors account for a smaller proportion. Accordingly, this thesis also proposes the driving mechanism of the ecological security of tourism sites in border areas in China with a view to providing theoretical support for policy formulation.

Suggested Citation

  • Jie Wang & Xi Chen & Zhaohui Zhang, 2023. "Spatial Differences and Drivers of Tourism Ecological Security in China’s Border Areas," Sustainability, MDPI, vol. 15(15), pages 1-17, August.
  • Handle: RePEc:gam:jsusta:v:15:y:2023:i:15:p:11811-:d:1208038
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    References listed on IDEAS

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    1. Yimin Li & Juanzhen Zhao & Jing Yuan & Peikun Ji & Xuanlun Deng & Yiming Yang, 2022. "Constructing the Ecological Security Pattern of Nujiang Prefecture Based on the Framework of “Importance–Sensitivity–Connectivity”," IJERPH, MDPI, vol. 19(17), pages 1-21, August.
    2. Han, Baolong & Liu, Hongxiao & Wang, Rusong, 2015. "Urban ecological security assessment for cities in the Beijing–Tianjin–Hebei metropolitan region based on fuzzy and entropy methods," Ecological Modelling, Elsevier, vol. 318(C), pages 217-225.
    3. Rainer, Gerhard, 2018. "Producing nature for tourism: A political ecology angle," Annals of Tourism Research, Elsevier, vol. 71(C), pages 62-63.
    4. Jinlong Wang & Ling Yang & Min Deng & Gui Zhang & Yaoqi Zhang, 2023. "Selection of optimal regulation scheme by simulating spatial network of ecological-economic-social compound system: a case study of Hunan province, China," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(3), pages 2831-2856, March.
    5. Tone, Kaoru & Tsutsui, Miki, 2010. "Dynamic DEA: A slacks-based measure approach," Omega, Elsevier, vol. 38(3-4), pages 145-156, June.
    6. Peng, Hongsong & Zhang, Jinhe & Lu, Lin & Tang, Guorong & Yan, Bingjin & Xiao, Xiao & Han, Ya, 2017. "Eco-efficiency and its determinants at a tourism destination: A case study of Huangshan National Park, China," Tourism Management, Elsevier, vol. 60(C), pages 201-211.
    7. Yue Pan & Zhaolong An & Jianpu Li & Gangmin Weng & Lingyan Li, 2023. "Spatiotemporal Characteristics and Determinants of Tourism Cooperation Network in Beijing–Tianjin–Hebei Region," Sustainability, MDPI, vol. 15(5), pages 1-20, February.
    8. Huang, Qing & Wang, Ranghui & Ren, Zhiyuan & Li, Jing & Zhang, Huizhi, 2007. "Regional ecological security assessment based on long periods of ecological footprint analysis," Resources, Conservation & Recycling, Elsevier, vol. 51(1), pages 24-41.
    9. Yufeng Cheng & Kai Zhu & Quan Zhou & Youssef El Archi & Moaaz Kabil & Bulcsú Remenyik & Lóránt Dénes Dávid, 2023. "Tourism Ecological Efficiency and Sustainable Development in the Hanjiang River Basin: A Super-Efficiency Slacks-Based Measure Model Study," Sustainability, MDPI, vol. 15(7), pages 1-17, April.
    10. Yuan Gao & Chuanrong Zhang & Qingsong He & Yaolin Liu, 2017. "Urban Ecological Security Simulation and Prediction Using an Improved Cellular Automata (CA) Approach—A Case Study for the City of Wuhan in China," IJERPH, MDPI, vol. 14(6), pages 1-20, June.
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